Cloud native intelligent operation and maintenance technology

Long XUE; Gang LU; Qi ZHOU; Huiyan ZHANG; Tingjun WAN

doi:10.11959/j.issn.1000-0801.2020320

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Cloud native intelligent operation and maintenance technology

Topic:Cloud Native Technology | 更新时间：2024-06-05

- Cloud native intelligent operation and maintenance technology
- Telecommunications Science Vol. 36, Issue 12, Pages: 105-112(2020)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2020320
  CLC： TP309
- Published Online：2020-12，
  
  Published：20 December 2020
- 稿件说明：
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Long XUE, Gang LU, Qi ZHOU, et al. Cloud native intelligent operation and maintenance technology[J]. Telecommunications science, 2020, 36(12): 105-112.
DOI：

Long XUE, Gang LU, Qi ZHOU, et al. Cloud native intelligent operation and maintenance technology[J]. Telecommunications science, 2020, 36(12): 105-112. DOI： 10.11959/j.issn.1000-0801.2020320.

摘要

凭借应用简单快捷、部署应用轻松自如、运行应用按需伸缩等优点，云原生技术得到迅速推广。但随着云原生的应用，系统架构愈加复杂，资源规模愈加庞大，迫切需要更加智能化的运维。利用智能运维，可以更好地助力云原生的应用开发，降低运维成本，提高服务质量。分析了智能运维的应用场景、关键点、经典实践以及存在的问题，提出了一种面向云原生的智能运维架构，详细介绍了核心服务算法平台中趋势预测、数据异常检测和故障定位诊断3个场景主要原理，最后展望智能运维未来。

Abstract

Relying on the advantages of simple and fast applications

easy deployment of applications

and on-demand scaling of running applications

cloud native technology has been rapidly promoted.However

with the application of cloud native

the system architecture has become more complex and the scale of resources has become larger

and there is an urgent need for more intelligent operation and maintenance.Using intelligent operation and maintenance can better assist cloud-native application development

reduce operation and maintenance costs

and improve service quality.The application scenarios

key points

classic practices and existing problems of intelligent operation and maintenance were analyzed

and a cloud-native intelligent operation and maintenance architecture were proposed

and the main principles of the three scenarios:the trend prediction

data anomaly detection and fault location diagnosing in the core service algorithm platform were introduced in detail

and finally the future of intelligent operation and maintenance were looked forward.

关键词

Keywords

references

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